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Software Engineer Data Analyst Jobs in Indianapolis, IN

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Software Engineer to join our team in the ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Software Engineer to join our team in the ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Software Engineer to join our team in the ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

The role requires collaboration with other analysts, data engineers, data product managers, and ... Possess a solid foundation in statistics and practical experience with statistical software (such ...

Data Analyst

Indianapolis, IN ยท On-site

$27 - $32/hr

Advanced working knowledge of EP Evaluator statistical software. * Proficiency in Microsoft Excel ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Write comprehensive unit and integration tests supported by static analysis and thoughtful test ...

Sr. Software Engineer

Indianapolis, IN ยท On-site +1

$117K - $154K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Analyze and resolve production issues, including batch processing failures. * Support software ...

Sr. Software Engineer

Indianapolis, IN ยท On-site

$117K - $154K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Analyze and resolve production issues, including batch processing failures. * Support software ...

Sr. Software Engineer

Indianapolis, IN ยท On-site +1

$117K - $154K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Analyze and resolve production issues, including batch processing failures. * Support software ...

Ability to integrate and analyze data across multiple subsystems * Basic Understanding of prompt ... Participate in code reviews and adopt software engineering best practices. * Assist in monitoring ...

Ability to integrate and analyze data across multiple subsystems * Basic Understanding of prompt ... Participate in code reviews and adopt software engineering best practices. * Assist in monitoring ...

Ability to integrate and analyze data across multiple subsystems * Basic Understanding of prompt ... Participate in code reviews and adopt software engineering best practices. * Assist in monitoring ...

In this role, you will analyze server and infrastructure capacity trends, model future demand, and ... Work with Meta hardware and software engineering teams to help resolve complex technical issues ...

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Software Engineer Data Analyst information

See Indianapolis, IN salary details

$42.5K

$124K

$169.7K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst in Indianapolis, IN is $123,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities near Indianapolis, IN are hiring for Software Engineer Data Analyst jobs?

Cities near Indianapolis, IN with the most Software Engineer Data Analyst job openings:

Staff Software Engineer, Data Platform

Circle

Atlanta, IN โ€ข On-site, Remote

Full-time

Re-posted yesterday


Job description

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you'll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

Here is our team hierarchy for individual contributors:

Senior Software Engineer (III)

Staff Software Engineer (IV)

Your team is responsible for:

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ingestion and processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance. These components power our Product, Engineering, Analytics, and Data Science teams by enabling experimentation, operational excellence, and actionable insights to accelerate business growth.

You'll work on:

  • Design, build, and operate data platform services (warehousing, orchestration, and catalogs). Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization.

  • Design, build and maintain batch and streaming data ingestion framework to source the required data for analytical and operational needs, which include onchain data, internal system data, and partner data.

  • Be a domain expert in streaming processing, data pipelines, data warehousing and quality. Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security and Compliance teams-on data contract modeling, data lifecycle management, governance and regulatory/legal compliance.

  • Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model preparation and serving, and performance monitoring.

  • Develop and maintain core services and libraries to enhance critical platform functionalities, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets.

You'll bring to Circle:

Senior Software Engineer (III):

  • 4+ years of software engineering experience building data-intensive systems

  • Hands-on experience designing and operating scalable batch, micro-batch, or streaming data pipelines

  • Experience in business domains such as payment systems, credit cards, bank transfers, or blockchains.

  • Familiarity with data governance, lineage, and provenance concepts

  • Strong understanding of open-source data technologies and cloud-native data platforms

  • Ability to tackle complex and ambiguous problems.

  • Self-starter who takes ownership and enjoys moving at a fast pace.

  • Excellent communication skills, with the ability to collaborate across multiple remote teams, share ideas and present concepts effectively.

Nice to have:

  • Experience with with streaming frameworks such as Apache Flink or Google Cloud Dataflow

  • Experience with NoSQL databases such as Bigtable, Cassandra

Staff Software Engineer (IV):

Includes all the requirements of a Senior Software Engineer, and:

  • 7+ years in software engineering experience for large-scale and complex data systems

  • Proven technical leadership in architecture and system design, influencing designs across multiple teams

  • Deep expertise in one or more of: streaming systems, data warehousing, data modeling, or large-scale ingestion platforms

  • Ability to identify high-impact technical opportunities independently and drive them from concept to production

  • Strong experience in:

    • Data platforms integrated with downstream consumers, tools, and services

    • Data quality, validation, and observability mechanisms across pipelines

  • Comfortable making and defending long-term architectural tradeoffs in ambiguous environments

Nice to have:

  • Hands-on Experience taking an operational, data-intensive application from initial design to production (01), or scaling and operating it at production scale.

  • Experience developing real-time analytics or near-real-time decisioning systems

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base Pay Range: $195,000-$257,500

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out toaccommodations@circle.comfor support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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